Available to hire
Experienced Software engineer bridging modern AI workflows with production-grade engineering. 4+ years delivering enterprise software and improving runtime performance, complemented by experience building end-to-end ML pipelines and LLM evaluation workflows. Focused on shipping dependable services that are scalable, secure, and easy to operate.
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Work Experience
LLM Training and Evaluation Intern at AI Singapore
May 1, 2025 - PresentDesigned cross-lingual and multimodal reasoning benchmarks (5+ languages) for the SEA-LION LLM family; standardized evaluation across cultural contexts. Built reproducible evaluation pipelines and automated reporting (dataset/error analysis, regression tracking) to support model release readiness and continuous quality monitoring. Partnered with researchers and system engineers to productionize evaluation workflows.
Teaching Assistant at National University of Singapore (NUS)
January 1, 2025 - April 1, 2025Led labs/tutorials; supported students with ML/AI implementation and debugging.
Research Assistant – Machine Learning at National University of Singapore (NUS)
September 1, 2024 - December 1, 2024Delivered an end-to-end CV pipeline: data collection/labeling → preprocessing/augmentation → training/tuning → evaluation → FastAPI inference service integrated with a web interface. Achieved 95% accuracy on a limited dataset and optimized for interactive latency via model selection, threshold tuning, and inference/pipeline improvements.
Senior Software Analyst – Full Stack Developer at PTC Software Pvt. Ltd
June 1, 2021 - July 1, 2024Developed and maintained enterprise backend/runtime services for Windchill (Java/Spring) in mission-critical customer deployments; contributed to runtime architecture and service hardening. Improved performance of key runtime components by 25–30% through profiling, refactoring, and optimization; reduced bottlenecks and improved stability under production workloads. Implemented secure authentication/authorization flows using OAuth2/JWT and IAM/SSO-style integrations; aligned features with security and compliance requirements. Built and operated Jenkins CI/CD pipelines with automated tests and quality gates. Containerized services and supported deployments using Docker and Kubernetes.
Data Science Intern at Damyant FinTech Pvt. Ltd
October 1, 2020 - May 1, 2021Built an end-to-end options strategy backtesting pipeline: historical data ingestion → cleaning/feature engineering → simulation → performance & risk reporting (Python). Exposed backtest configuration and results via a lightweight Flask service; stored datasets, intermediate artifacts, and outputs in MongoDB. Implemented ML-based simulation components to evaluate strategy behavior under varying market conditions and generate comparative metrics for strategy selection.
Education
Master of Computing (AI Specialization) at National University of Singapore (NUS)
August 1, 2024 - December 1, 2025Bachelor of Engineering (Computer Engineering) at Pune University, India (SPPU)
August 1, 2017 - May 1, 2021Qualifications
Industry Experience
Software & Internet
Skills
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Experience Level
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